“Empowering Innovation through Intelligent Computing.”
The B.Tech. in Artificial Intelligence and Machine Learning (AI & ML) at RTU Bengaluru is a 4-year undergraduate program that provides students with a strong foundation in artificial intelligence, machine learning, data science, deep learning, programming, and intelligent system development. Our curriculum is designed in collaboration with industry experts to ensure that graduates are equipped with the latest skills and knowledge required in the rapidly evolving AI-driven technology landscape.
The program emphasizes both theoretical concepts and practical applications, with state-of-the-art laboratories, industry internships, and project-based learning to provide a holistic educational experience. Students gain hands-on exposure to AI technologies, predictive analytics, natural language processing, computer vision, and data-driven decision-making systems. The curriculum of the program also allows students to opt for a minor (24 Credits) offered by other colleges. Students may choose Business Analytics, Finance, General Management, Statistics, etc., as a minor.
Explore the key features that make our Computer Science Engineering program stand out
The curriculum is designed to align with current industry trends, covering machine learning, deep learning, data science, computer vision, and generative AI. Students gain knowledge relevant to modern AI applications.
Students work on real-world AI/ML projects using industry-standard tools and platforms. Practical exposure helps develop problem-solving and implementation skills.
The program encourages internships and industry interactions to provide practical experience in AI-driven domains. This helps students understand workplace expectations and emerging technologies.
The course includes topics such as Natural Language Processing (NLP), Computer Vision, Robotics, Big Data Analytics, and Generative AI. Students stay updated with advancements in intelligent systems.
Students are encouraged to participate in research activities, innovation projects, and AI competitions. This fosters analytical thinking and technological innovation.
Learn from experienced faculty members with strong academic backgrounds and industry experience in various domains of computer science.
Assistant professor
M.Tech
Specialization: Computer Science and Engineering
Assistant professor
M.Tech
Specialization: Computer Science and Engineering
Assistant Professor
B.Tech
Specialization: Computer Science and Engineering
Lecturer
B.TECH (CSE)
Specialization: AI (Artificial Intelligence),Data Science, Python, Machine Learning
Assistant Professor
M.TECH (CSE)
Specialization: Computer Science & Engineering
Assistant Professor
M.TECH (CSE)
Specialization: Computer Science & Engineering
Our comprehensive curriculum is designed to provide a strong foundation in computer science principles while keeping pace with emerging technologies
| Course Category | Title of the Course | Credit |
|---|---|---|
| UCC | Communication Skills | 3 |
| UCC | Linear Algebra (Vectors, Matrices, Eigenvalues), Multivariable Calculus | 3 |
| PFC | Basic of Python | 3 |
| PFC | Basic of Python LAB | 1 |
| PFC | Introduction to Artificial Intelligence and Machine Learning | 3 |
| PCC | Problem Solving through C Programming | 3 |
| PCC | Database Fundamentals (SQL) | 3 |
| PCC | Problem Solving through C Programming Lab | 2 |
| Total | 21 |
*University Core Courses (UCC)
*Program Foundation Courses (PFC)
*Program Core courses (PCC) -Major
| Course Category | Title of the Course | Credit |
|---|---|---|
| UCC | Machine Learning | 3 |
| UCC | Critical Thinking | 3 |
| PFC | Statistical Machine Learning | 3 |
| PFC | Probability, Statistics & Optimization | 3 |
| PCC | Introduction to Cloud Computing | 3 |
| PCC | Data Structures & Algorithms C++ | 3 |
| PCC | Data Structures & Algorithms C++ LAB | 1 |
| PCC | Statistical Machine Learning Lab | 1 |
| PCC | Machine Learning Lab | 1 |
| Total | 21 |
| Course Category | Title of the Course | Credit |
|---|---|---|
| UCC | Problem Solving for Design Thinking | 3 |
| PFC | Deep Learning | 3 |
| PFC | Reinforcement Learning | 3 |
| PCC | Universal Human Values | 2 |
| PCC | Devops | 2 |
| PCC | AI Ethics, Security & Governance | 2 |
| PCC | Deep Learning Lab | 1 |
| PCC | Reinforcement Learning Lab | 1 |
| MINOR | MIN-1 | 3 |
| Total | 20 |
*University Core Courses (UCC)
*Program Foundation Courses (PFC)
*Program Core courses (PCC) -Major
*Minor courses (MINOR)
| Course Category | Title of the Course | Credit |
|---|---|---|
| PFC | MLOps & AI System Deployment | 4 |
| PCC | Database Management System | 3 |
| PCC | Linux Shell Scripting | 3 |
| PCC | Database Management System Lab | 1 |
| PCC | MLOps & AI System Deployment Lab | 1 |
| PCC | Computer Vision | 3 |
| MINOR | MIN-2 | 2 |
| MINOR | MIN-3 | 2 |
| Total | 20 |
| Course Category | Title of the Course | Credit |
|---|---|---|
| PFC | Advance Data Structures and Algorithms | 4 |
| PCC | Community Engagement | 3 |
| PCC | Natural Language Processing | 3 |
| PCC | Data Science & Data Mining | 3 |
| PCC | Natural Language Processing Lab | 3 |
| PCC | Data Science & Data Mining Lab | 3 |
| MINOR | MIN-4 | 3 |
| MINOR | MIN-5 | 3 |
| Total | 21 |
*Program Elective Courses(PEC)-specialization
*Program Core courses (PCC) -Major
*Minor courses (MINOR)
| Course Category | Title of the Course | Credit |
|---|---|---|
| PCC | Internet of Things | 4 |
| PCC | Cryptography and Network Security | 3 |
| PCC | Generative AI | 3 |
| PCC | Optimization Techniques | 3 |
| PCC | Big Data Analytics | 3 |
| PCC | Big Data Analytics Lab | 3 |
| PCC | Generative AI Lab | 3 |
| Total | 22 |
| Course Category | Title of the Course | Credit |
|---|---|---|
| UCC | Environmental Studies and Sustainability | 2 |
| UCC | Yoga & Wellness | P/F |
| UCC | Community Engagement | P/F |
| PEC | PEC-i-05 | 4 |
| PEC | PEC-i-06 | 4 |
| PROJ | Research-Phase1 | 4 |
| Internship | Internship | 2 |
| MINOR | MIN-8 | 3 |
| Total | 19 |
*Program Elective Courses(PEC)-specialization
*University Core Courses (UCC)
*Minor courses (MINOR)
*Internship
*Research Project
| Course Category | Title of the Course | Credit |
|---|---|---|
| UCC | Indian Constitution | 4 |
| UCC | Health & well being | 3 |
| UCC | Personal Finance & Tax planning | 3 |
| PROJ | Research-Phase2 | 4 |
| Total | 12 |